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Multispectral image classification using wavelets: a simulation study

✍ Scribed by Jun Yu; Magnus Ekström

Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
228 KB
Volume
36
Category
Article
ISSN
0031-3203

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✦ Synopsis

This work presents methods for multispectral image classiÿcation using the discrete wavelet transform. Performance of some conventional classiÿcation methods is evaluated, through a Monte Carlo study, with or without using the wavelet transform. Spatial autocorrelation is present in the computer-generated data on di erent scenes, and the misclassiÿcation rates are compared. The results indicate that the wavelet-based method performs best among the methods under study.

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